Creating diverse and inclusive scientific practices for research datasets and dissemination

Author:

Kam Julia W.Y.1,Badhwar AmanPreet2,Borghesani Valentina3,Lee Kangjoo4,Noble Stephanie567,Raamana Pradeep Reddy8910,Ratnanather J. Tilak11,Tan Davynn G.H.12,Oestreich Lena K.L.13,Lee Hyang Woon141516,Marzetti Laura1718,Nakua Hajer19,Rippon Gina20,Olsen Rosanna2122,Pozzobon Alyssa23,Uddin Lucina Q.24,Yanes Julio Alejandro25,Tzovara Athina2627

Affiliation:

1. Department of Psychology, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada

2. Multiomics Investigation of Neurodegenerative Diseases (MIND) Laboratory, Département de Pharmacologie et Physiologie, Institut de Génie Biomédical, Université de Montréal and Centre de Recherche de l’Institut Universitaire de Gériatrie, Montreal, Canada

3. Department of Psychology, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland

4. Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States

5. Department of Psychology, Northeastern University, Boston, MA, United States

6. Department of Bioengineering, Northeastern University, Boston, MA, United States

7. Center for Cognitive and Brain Health, Northeastern University, Boston, MA, United States

8. Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States

9. Department of Biomedical Engineering, University of Pittsburgh, Pittsburgh, PA, United States

10. Department of Intelligent Systems, University of Pittsburgh, Pittsburgh, PA, United States

11. Center for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States

12. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China

13. Centre for Advanced Imaging (CAI)/Australian Institute for Bioengineering and Nanotechnology (AIBN) and School of Psychology, The University of Queensland, Brisbane, Australia

14. Department of Neurology, Ewha Womans University School of Medicine, Seoul, South Korea

15. Department of Medical Science, Ewha Womans University School of Medicine, Seoul, South Korea

16. Computational Medicine, System Health Science and Engineering, and Artificial Intelligence Convergence Graduate Programs, Ewha Womans University, Seoul, South Korea

17. Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Chieti, Italy

18. Institute for Advanced Biomedical Technologies, University of Chieti-Pescara, Chieti, Italy

19. Centre for Addiction and Mental Health, Institute of Medical Science, University of Toronto, Toronto, Canada

20. Institute of Health and NeuroDevelopment, Aston University, Birmingham, United Kingdom

21. Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Canada

22. Department of Psychology, University of Toronto, Toronto, Canada

23. Department of Psychology, Faculty of Social Science, University of Ottawa, Ottawa, Canada

24. Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States

25. National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, Maryland

26. Institute of Computer Science, University of Bern, Bern, Switzerland

27. Center for Experimental Neurology, Sleep Wake Epilepsy Center, NeuroTec, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

Abstract

Abstract Diversity, equity, and inclusivity (DEI) are important for scientific innovation and progress. This widespread recognition has resulted in numerous initiatives for enhancing DEI in recent years. Although progress has been made to address gender and racial disparities, there remain biases that limit the opportunities for historically under-represented researchers to succeed in academia. As members of the Organization for Human Brain Mapping (OHBM) Diversity and Inclusivity Committee (DIC), we identified the most challenging and imminent obstacles toward improving DEI practices in the broader neuroimaging field. These obstacles include the lack of diversity in and accessibility to publicly available datasets, barriers in research dissemination, and/or barriers related to equitable career advancements. In order to increase diversity and promote equity and inclusivity in our scientific endeavors, we suggest potential solutions that are practical and actionable to overcome these barriers. We emphasize the importance of the enduring and unwavering commitment required to advance DEI initiatives consistently. By doing so, the OHBM and perhaps other neuroscience communities will strive toward a future that is not only marked by scientific excellence but also characterized by diverse, inclusive, and equitable opportunities for all, including historically under-represented individuals around the world.

Publisher

MIT Press

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